Evidence map›Paper›PMID 24245856›Full record

ArticleParasites & vectors2013

Yellow fever disease: density equalizing mapping and gender analysis of international research output.

Matthias Bundschuh, David A Groneberg, Doris Klingelhoefer, Alexander Gerber

Abstract readHistorical Article
In one paragraph

Article in Parasites & vectors, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Caesarean Section--A Density-Equalizing Mapping Study to Depict Its Global Research Architecture.International journal of environmental research and public health · 2015
    Pooled it
  2. Article
  3. Article
  4. Article
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  7. Needlestick injuries: a density-equalizing mapping and socioeconomic analysis of the global research.International archives of occupational and environmental health · 2020
    Article
  8. Article
  9. The Prediction of Infectious Diseases: A Bibliometric Analysis.International journal of environmental research and public health · 2020
    Review
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  19. Article
  20. Visualizing statistical significance of disease clusters using cartograms.International journal of health geographics · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Matthias BundschuhInstitute of Occupational, Social and Environmental Medicine, Goethe-University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany. Bundschuh@med.uni-frankfurt.de.
David A Groneberg
Doris Klingelhoefer
Alexander Gerber

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA number of scientific papers on yellow fever have been published but no broad scientometric analysis on the published research of yellow fever has been reported.The aim of the article based study was to provide an in-depth evaluation of the yellow fever field using large-scale data analysis and employment of bibliometric indicators of production and quantity.

methodsData were retrieved from the Web of Science database (WoS) and analyzed as part of the NewQis platform. Then data were extracted from each file, transferred to databases and visualized as diagrams. Partially by means of density-equalizing mapping makes the findings clear and emphasizes the output of the analysis.

resultsIn the study period from 1900 to 2012 a total of 5,053 yellow fever-associated items were published by 79 countries. The United States (USA) having the highest publication rate at 42% (n = 751) followed by far from Brazil (n = 203), France (n = 149) and the United Kingdom (n = 113). The most productive journals are the "Public Health Reports", the "American Journal of Tropical Medicine and Hygiene" and the "Journal of Virology". The gender analysis showed an overall steady increase of female authorship from 1950 to 2011. Brazil is the only country of the five most productive countries with a higher proportion of female scientists.

conclusionsThe present data shows an increase in research productivity over the entire study period, in particular an increase of female scientists. Brazil shows a majority of female authors, a fact that is confirmed by other studies.

Indexed as

BibliometricsInternationalityAnimalsFemaleHistory, 20th CenturyHistory, 21st CenturyHumansMalePublishingResearchSex FactorsYellow Fever

Identifiers

PMID24245856
PMCPMC3843536

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.